Literature DB >> 31201456

Hybrid SWATH/MS and HR-SRM/MS acquisition for phospholipidomics using QUAL/QUANT data processing.

Michel Raetz1, Eva Duchoslav2, Ron Bonner3, Gérard Hopfgartner4.   

Abstract

A hybrid SWATH/MS and HR-SRM/MS acquisition approach using multiple unit mass windows and 100 u precursor selection windows has been developed to interface with a chromatographic lipid class separation. The method allows for the simultaneous monitoring of sum compositions in MS1 and up to 48 lipids in MS2 per lipid class. A total of 240 lipid sum compositions from five phospholipid classes could be monitored in MS2 (HR-SRM/MS) while there was no limitation in the number of analytes in MS1 (HR-SIM/MS). On average, 92 lipid sum compositions and 75 lipid species could be quantified in human plasma samples. The robustness and precision of the workflow has been assessed using technical triplicates of the subject samples. Lipid identification was improved using a combined qualitative and quantitative data processing based on prediction instead of library search. Lipid class specific extracted ion currents of precursors and the corresponding molecular species fragments were extracted based on the information obtained from lipid building blocks and a combinatorial strategy. The SWATH/MS approach with the post-acquisition processing is not limited to the analyzed phospholipid classes and can be applied to other analytes and samples of interest. Graphical abstract.

Entities:  

Keywords:  Data processing; Glycerophospholipids; HILIC; Plasma; QUAL/QUANT; SWATH

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Year:  2019        PMID: 31201456     DOI: 10.1007/s00216-019-01946-4

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Developing a SWATH capillary LC-MS/MS method for simultaneous therapeutic drug monitoring and untargeted metabolomics analysis of neonatal plasma.

Authors:  Jingcheng Xiao; Jian Shi; Ruiting Li; Lucy Her; Xinwen Wang; Jiapeng Li; Matthew J Sorensen; Varsha Bhatt-Mehta; Hao-Jie Zhu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2021-07-27       Impact factor: 3.318

2.  Evaluation of lipid quantification accuracy using HILIC and RPLC MS on the example of NIST® SRM® 1950 metabolites in human plasma.

Authors:  Mike Lange; Maria Fedorova
Journal:  Anal Bioanal Chem       Date:  2020-04-02       Impact factor: 4.142

  2 in total

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